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Computerized collection and analysis of dietary intake information
D Feskanich1, B H Sielaff, K Chong
1Division of Human Development and Nutrition, School of Public Health, University of Minnesota, Minneapolis.
Computer Methods and Programs in Biomedicine
|September 1, 1989
Summary
A new computer system standardizes dietary intake data collection and analysis for nutritional research. It efficiently calculates nutrient content using food codes and weights from a hierarchical database.
Area of Science:
- Nutrition Science
- Computer Science
- Bioinformatics
Background:
- Accurate dietary intake data is crucial for nutritional research.
- Existing methods for collecting dietary information can be time-consuming and lack standardization.
Purpose of the Study:
- To develop a computer system for standardized and in-depth collection and analysis of dietary intake information.
- To facilitate real-time interactive interviews for nutritional research.
Main Methods:
- Development of a computer system with a hierarchically arranged database of food descriptions.
- User identification of consumed food items through hierarchical traversal and menu selections.
- Assignment of food codes and determination of gram weights from everyday measures.
- Calculation of nutrient content using food codes and gram weights.
- Utilization of binary trees and physical pointers for expedited data retrieval from a 10 Mbyte database.
Main Results:
- The system enables standardized collection and analysis of dietary intake data.
- It accurately calculates nutrient content based on consumed foods and their quantities.
- The use of binary trees and physical pointers allows for efficient data retrieval, supporting real-time interviews.
Conclusions:
- The developed computer system enhances the efficiency and standardization of dietary intake assessment for nutritional research.
- This system supports in-depth analysis and real-time interactive data collection, improving the quality of nutritional research.
- The hierarchical database and optimized data retrieval contribute to a robust tool for dietary assessment.